Senior Data Engineer
Tasks
- Administer cloud data platforms
- Apply data governance and classification
- Build and maintain automated data pipelines for ETL
- Design data repository and integration platforms
- Develop integrations using APIs and change data capture
- Document data standards and procedures
- Ensure data security and compliance
- Implement data quality checks and monitoring
- Provide technical leadership and mentor engineers
- Transform raw data into curated analytical datasets
Perks/Benefits
- 401k plan
- Bonus programs
- Employee assistance programs
- Health insurance
- Life and AD D Insurance
- Long-term disability
- Paid parental leave
- Paid time off
- Pre Tax Dependent Care Plans
- Pre-tax health plans
- Stock options
- Tuition reimbursement
Skills/Tech-stack
API | Access Control | Automation | CI/CD | Change Data Capture | Cost Optimization | Data Capture | Data Freshness Monitoring | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Warehouse | Data freshness | Database Administration | Dimensional Modeling | ELT | ETL | Freshness Monitoring | Git | Infrastructure as Code | Kafka | Kinesis | Lakehouse | Monitoring and Alerting | Performance Tuning | Power BI | Python | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Streaming Data | Tableau | Workflow Orchestration | “as-code”
Education
Roles
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